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Hinzufügen von temporalem Kontextgedächtnis zu Agenten-Workflow…

Nutzen Sie Zep als externe Kontextebene für Agenten, die Ereignisse speichern, temporale Graphkontexte zusammenstellen und relevante Erinnerungen vor Modellaufrufen abrufen müssen.

Was ist Hinzufügen von temporalem Kontextgedächtnis zu Agenten-Workflow…?

Diese Fähigkeit integriert Zep als externe Gedächtnisschicht in Agenten-Workflows. Zep ermöglicht es Agenten, Ereignisse zu speichern, temporale Graphkontexte zu erstellen und relevante Erinnerungen vor Modellaufrufen abzurufen. Dies verbessert das Kontextverständnis von KI-Agenten erheblich, indem es eine durchgehende, temporal organisierte Gedächtnisfunktion bereitstellt. Die Fähigkeit unterstützt mehrere Plattformen wie LangChain, LlamaIndex, AutoGen und individuelle Agentendienste und bietet SDKs für Python und TypeScript/JavaScript. Zep Cloud, ein verwalteter Dienst, bietet eine Latenz von unter 200 ms, Unternehmensskalierbarkeit sowie SOC2 Typ 2 / HIPAA-Konformität und ist ideal für komplexe, kontextreiche KI-Assistenten und Workflows.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/add-temporal-context-memory-to-agent-workflows-with-zep
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Dokumentation

Hinzufügen von temporalem Kontextgedächtnis zu Agenten-Workflows mit Zep

Nutzen Sie Zep als externe Kontextebene für Agenten, die Ereignisse speichern, temporale Graphkontexte zusammenstellen und relevante Erinnerungen vor Modellaufrufen abrufen müssen.

Voraussetzungen

Zep Cloud-Konto; Python SDK zep-cloud oder TypeScript SDK @getzep/zep-cloud; Agentenlaufzeit wie LangChain, LlamaIndex, AutoGen oder ein benutzerdefinierter Agentendienst

Installation

Verwenden Sie den Upstream-Installations- oder Einrichtungspfad, der Ihrer Umgebung entspricht:

  • UV installieren (falls noch nicht geschehen):
  • uv sync

Anforderungen und Hinweise von Upstream:

  • Python: pip install zep-cloud
  • Dieses Projekt verwendet UV für die Python-Paketverwaltung mit Workspace-Funktionen.
  • Python 3.13+

Grundlegende Nutzungs- und Einstiegshinweise:

Dokumentation

Quelle

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

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ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

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Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

Adobe Photoshop API Batch Processor

Automates image editing workflows via the Adobe Photoshop API (Firefly Services). Supports smart object replacement, action playback, and PSD layer manipulation at scale.

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